Machine Learning
Loss Function
Machine Learning· Intermediate
Definition
A mathematical function measuring the difference between model predictions and true values. Training minimizes this function. Common examples: MSE for regression, Cross-Entropy for classification. Loss function choice defines what the model optimizes toward.
Tags
#error#optimization#MSE#cross-entropy
MS
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